The **median absolute deviation** is a way to measure the spread of values in a dataset.

The formula to calculate median absolute deviation, often abbreviated MAD, is as follows:

**MAD = median(|x _{i} – x_{m}|)**

where:

**x**The i_{i}:^{th}value in the dataset**x**The median value in the dataset_{m}:

The following step-by-step example shows how to calculate the median absolute deviation of a given dataset in Excel.

**Step 1: Enter the Data**

First, we’ll enter the values for a dataset:

**Step 2: Calculate the Median**

Next, we’ll calculate the median of the dataset:

The median turns out to be **16**.

**Step 3: Calculate the Absolute Difference Between Each Value & the Median**

Next, we’ll calculate the absolute difference between each value and the median:

Click on cell B2. Then hover over the bottom right corner of the cell until a little cross (**+**) appears.

Double click the cross to copy and paste this formula to all remaining cells in the column:

**Step 4: Calculate the Median Absolute Deviation**

Lastly, we will use the following formula to calculate the median absolute deviation of the dataset:

The median absolute deviation turns out to be **8**.

**Additional Resources**

Median Absolute Deviation Calculator

How to Calculate Median Absolute Deviation in R

How to Calculate Median Absolute Deviation in Python